Data Scientist

3 months ago

Bengaluru Karnataka, India Lowe's Full time

**About Lowe’s**

Key Responsibilities:

- Build Forecasting models for the sponsored products and display ads
- Champion in working with the product and tech leads to build the heart of the ad selection engine which will be powering the LORMN ads platform
- Utilizes a depth of knowledge of how to best leverage disparate data sources, relevant external data and strong domain expertise, in order to deliver on a need of the business
- Provides technical skills to analytics projects, performing more advanced project analysis and data modeling, ultimately ensuring that the final deliverable is high-quality and provides impactful insights
- Translates a business question into an analytical model that can be utilized and executed by the business; Collects, cleans, transforms, and restructures data for statistical analysis; performs statistical summaries and tests for relevant business questions
- Performs operational or customer behavior modeling and analysis in order to provide quality insights
- Creates analytic solutions by exploring innovative data and techniques; conducts exploratory data analysis and modeling
- Builds predictive and prescriptive models supporting a vast array of customer and business scenarios; performs statistical tests to enhance the predictability of models
- Responsible for continuously learning and sharing analytic methodology and techniques new to Lowe’s
- Develops solid hypotheses, in collaboration with business partners, on how value can be created; builds analytical models, analyses, or tests to validate/disprove these hypotheses and develops actionable recommendations for the business
- Translates project requirements into analytical problem(s), sometimes partnering with more junior level analysts, asking the right questions and validating understanding of requirements with manager or more senior level analysts
- Contributes to or builds project plans, ensuring clear understanding of project requirements and timeline; provides guidance to more junior level analysts and communicates project timelines, scope and expectations to stakeholders
- Gathers and assimilates information/data, sometimes in partnership with more junior level analysts, using known tools, techniques, methods and models to ensure an accurate and concise output summarizing findings; discusses analysis and findings with the team before delivering to stakeholders
- Offers insight and recommendations based on the data analysis for review by more senior level analysts; discusses and incorporates ideas from more junior level analysts

**Minimum Qualifications**:

- Bachelor’s Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 3 years of related experience

OR
- Master's Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 1 year of related experience

ALSO
- 2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide)
- 1 year of experience working with Enterprise level databases (e.g., Hadoop, Teradata, Aster, GCP, Azure, Oracle, DB2)
- 2 years of experience using enterprise-grade data visualization tools (e.g., MicroStrategy VI, Power BI, Tableau)
- 1 year of Functional experience performing predictive analytics at a large scale enterprise

Preferred Qualifications:

- Master's Degree in Business, Engineering, Statistics, Economics or related area
- Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, TM1, Alteryx, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2)
- Experience working with big, unstructured data in a retail environment
- Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc.
- Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny
- Programming experience using tools such as R, Python
- Data Science experience using tools such as ML, Text mining
- Advanced knowledge of SQL
- Ad-tech or Retail Media Network experience
- Experience in home improvement retail
- Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law._

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